Data Handling in Science and Technology
Aim & scope
The long-running Elsevier Data Handling in Science and Technology series aims to provide a comprehensive and accessible resource for researchers, educators, and practitioners in the field of analytical chemistry and related disciplines.
As the volume of data generated in scientific research continues to grow exponentially, the need for effective data management, analysis, and interpretation has never been more critical. This series addresses this need by offering a collection of volumes that outline the methodologies, tools, and best practices for handling data across various scientific domains.
Each volume in the series focuses on specific aspects of data handling, including statistical analysis, data visualization, and computational techniques, ensuring that readers are equipped with the knowledge and skills necessary to navigate the complexities of modern scientific data. By integrating theoretical foundations with practical applications, the series aims to bridge the gap between data theory and real-world implementation.
Moreover, the series emphasizes the importance of reproducibility and transparency in scientific research, providing guidelines and frameworks that promote best practices in data management. With contributions from leading experts in the field, the Data Handling in Science and Technology series serves as an essential reference for anyone looking to enhance their understanding of data handling in the context of scientific inquiry and technological advancement. Through this initiative, the series editors aspire to foster a culture of data literacy that empowers scientists to make informed decisions and drive innovation in their respective fields.
Audience
The Data Handling in Science and Technology series aims to provide a comprehensive and accessible resource for researchers, educators, and practitioners in analytical chemistry and related disciplines. Targeting graduate students, early-career researchers, and seasoned professionals, this series addresses the critical need for effective data management, analysis, and interpretation in an era where the volume of scientific data is growing exponentially.
Publish a book with Elsevier
If you are interested in submitting a proposal for a new volume in the series, please contact Romà Tauler at: [email protected] opens in new tab/window
Series Editors
RT
Romà Tauler
Research Professor
Instituto de Investigaciones Quimicas y Ambientales Josep Pascual Vila (IIAQB), Barcelona, Spain
E-mail Romà TaulerBW
Beata Walczak
Professor
Institute of Chemistry, University of Silesia in Katowice, Poland
Series Volumes
Methods for Experimental Design
Design and Optimization in Organic Synthesis